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The Transfer Performance of Economic Models
Economists often estimate models using data from a particular domain, e. g. estimating risk preferences in a particular subject pool or for a specific class of lotteries.
Observability, Dominance, and Induction in Learning Models
Learning models do not in general imply that weakly dominated strategies are irrelevant or justify the related concept of "forward induction," because rational agents may use dominated strategies as experiments to learn how opponents play, and may not have enough data to rule out a strategy that opponents never use.
A Reputation for Honesty
We analyze situations in which players build reputations for honesty rather than for playing particular actions.
How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories
We propose a restrictiveness measure for economic models based on how well they fit synthetic data from a pre-defined class.
Measuring the Completeness of Theories
We use machine learning to provide a tractable measure of the amount of predictable variation in the data that a theory captures, which we call its "completeness."
